Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines.
Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility.
Here’s what this particular role covers.
🛠️ About our Site Reliability Engineering Teams
Wayve’s Site Reliability Engineering teams help make its technology reliable and resilient as deployments scale across AI infrastructure, cloud applications, and vehicle software.
This team builds the platforms, automation, and engineering practices that help engineers prepare for incidents, respond effectively, and turn lessons into lasting improvements. Working alongside engineers across Wayve, the team makes incident response simpler and more consistent, gives engineers the tools and confidence to own their systems’ reliability, and grows a strong community of responders. Its work supports engineering velocity, operational resilience, and safety as Wayve’s technology reaches more vehicles and markets.
🧠 Your day-to-day
Setting the technical strategy and multi-year roadmap for incident-management tooling, integrations, automation, data, and reporting
Treating incident management as an engineering platform: managing supported configuration with Terraform and building production-quality Python or Go automation, APIs, and webhooks
Evolving Wayve’s incident ecosystem across incident.io, Slack, Jira, service ownership, service catalogue, paging, observability, and reporting
Defining scalable standards for severity, incident roles, escalation, communications, cross-time-zone handovers, resolution, and closure
Building trustworthy incident data models and reporting that expose systemic risk and help leaders prioritise reliability investment
Raising the quality of post-incident reviews and corrective actions, turning incident learning into durable engineering improvements
Developing playbooks, training, and exercises that build a distributed community of capable Incident Commanders, communications leads, and responders
Partnering with embedded SREs and service-owning teams to improve on-call design, alert quality, runbooks, and production readiness, while preserving their operational accountability
Partnering with Safety on engineering-to-safety escalation, evidence, and handoffs
Compensation: $276.1K – $311.4K • Offers Equity
How we work 💻- Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely.
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